PyTorch Implementation of Physics-informed Neural Networks
☆719May 20, 2024Updated 2 years ago
Alternatives and similar repositories for PINNs
Users that are interested in PINNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆379Jul 5, 2024Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,116Feb 11, 2026Updated 6 months ago
- Investigating PINNs☆779Aug 13, 2021Updated 5 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,535Dec 8, 2023Updated 2 years ago
- Physics-informed neural networks package☆347Jul 20, 2022Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆942Feb 8, 2026Updated 6 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆681May 31, 2026Updated 2 months ago
- Physics-informed neural network for solving fluid dynamics problems☆285Jan 28, 2021Updated 5 years ago
- A library for scientific machine learning and physics-informed learning☆4,394Aug 18, 2026Updated last week
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆210Apr 7, 2024Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆115Apr 15, 2022Updated 4 years ago
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆448Jul 24, 2026Updated last month
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆271Feb 1, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆266Nov 30, 2023Updated 2 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆215Jul 16, 2020Updated 6 years ago
- ☆428Dec 3, 2022Updated 3 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆575May 29, 2026Updated 3 months ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆164Jul 16, 2020Updated 6 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆838Jun 25, 2022Updated 4 years ago
- Physics-Informed Neural networks for Advanced modeling☆789Aug 16, 2026Updated 2 weeks ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆789Apr 22, 2026Updated 4 months ago
- ☆547Apr 1, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆29May 8, 2023Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆102Sep 26, 2022Updated 3 years ago
- Deep learning library for solving differential equations on top of PyTorch.☆63Jul 30, 2020Updated 6 years ago
- ☆1,120Jun 29, 2026Updated 2 months ago
- ☆271Oct 14, 2021Updated 4 years ago
- PINN program for computational mechanics☆151Apr 1, 2024Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆394Jul 14, 2023Updated 3 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆249Oct 21, 2024Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆146Oct 24, 2025Updated 10 months ago
- ☆221Feb 16, 2024Updated 2 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆44Jun 24, 2022Updated 4 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,192Mar 30, 2026Updated 5 months ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆368Dec 20, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago